Using an Antibiogram Profile to Improve Infection Control and Rational Antimicrobial Therapy in an Urban Hospital in The Gambia, Strategies and Lessons for Low- and Middle-Income Countries

Author:

Darboe Saffiatou1ORCID,Mirasol Ruel2,Adejuyigbe Babapelumi3ORCID,Muhammad Abdul Khalie1,Nadjm Behzad14,De St. Maurice Annabelle5,Dogan Tiffany L.6,Ceesay Buntung1,Umukoro Solomon1,Okomo Uduak1,Nwakanma Davis1ORCID,Roca Anna1,Secka Ousman1,Forrest Karen1ORCID,Garner Omai B.2

Affiliation:

1. Medical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Banjul P.O. Box 273, The Gambia

2. Department of Pathology and Laboratory Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA

3. David Geffen School of Medicine, University of California, UCLA, Los Angeles, CA 90095, USA

4. University College London Hospital NHS Foundation Trust, London NW1 2BU, UK

5. Department of Pediatrics, Division of Infectious Diseases, David Geffen School of Medicine, UCLA, Los Angeles, CA 90095, USA

6. Department of Clinical Epidemiology and Infection Prevention, University of California, UCLA Health, Los Angeles, CA 90095, USA

Abstract

Antimicrobial resistance is a global health threat and efforts to mitigate it is warranted, thus the need for local antibiograms to improve stewardship. This study highlights the process that was used to develop an antibiogram to monitor resistance at a secondary-level health facility to aid empirical clinical decision making in a sub-Saharan African county. This retrospective cross-sectional descriptive study used 3 years of cumulative data from January 2016 to December 2018. Phenotypic data was manually imputed into WHONET and the cumulative antibiogram constructed using standardized methodologies according to CLSI M39-A4 guidelines. Pathogens were identified by standard manual microbiological methods and antimicrobial susceptibility testing was performed using Kirby-Bauer disc diffusion method according to CLSI M100 guidelines. A total of 14,776 non-duplicate samples were processed of which 1163 (7.9%) were positive for clinically significant pathogens. Among the 1163 pathogens, E. coli (n = 315) S. aureus (n = 232), and K. pneumoniae (n = 96) were the leading cause of disease. Overall, the susceptibility for E. coli and K. pneumoniae from all samples were: trimethoprim-sulfamethoxazole (17% and 28%), tetracycline (26% and 33%), gentamicin (72% and 46%), chloramphenicol (76 and 60%), and ciprofloxacin (69% and 59%), and amoxicillin/clavulanic (77% and 54%) respectively. Extended spectrum beta-lactamase (ESBL) resistance was present in 23% (71/315) vs. 35% (34/96) respectively. S. aureus susceptibility for methicillin was 99%. This antibiogram has shown that improvement in combination therapy is warranted in The Gambia.

Publisher

MDPI AG

Subject

Pharmacology (medical),Infectious Diseases,Microbiology (medical),General Pharmacology, Toxicology and Pharmaceutics,Biochemistry,Microbiology

Reference42 articles.

1. WHO (2001). Global Strategy for Containment of Antimicrobial Resistance.

2. Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis;Murray;Lancet,2022

3. WHO (2017). Global Action Plan on Antimicrobial Resistance.

4. Surveillance of antimicrobial resistance in resource-constrained settings–experience from five pilot projects;Holloway;Trop. Med. Int. Health,2010

5. WHO (2021). Global Antimicrobial Resistance and Use Surveillance System (GLASS) Report 2021.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3